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Today, many industries are implementing creative approaches in response to increasing environmental awareness. It is of great importance to answer the question of whether the military sector, one of the most important sectors, can support renewable energy (RE) adaptation. This study aims to examine how military spending affects the supply of RE in 27 Organization for Economic Cooperation and Development (OECD) nations as well as the regulatory function of factors such as innovation, international trade and oil prices between 1990 and 2021.

The study examines the effects of military spending, income, green innovation, international trade, oil prices and the human development index on the supply of RE using various econometric approaches, which are the cointegration test, moments quantile regression and robustness test.

The findings demonstrate that all factors, excluding military spending, quite likely affect the expansion of the renewable supply. Military spending negatively influences the RE supply; specifically, a 1% increase in military spending results in a 0.88 reduction in the renewable supply. In addition, whereas income elasticity, trade and human development index in OECD nations are higher in the last quantiles of the regression than in the first quantiles, the influence of military spending and innovation on renewable supply is about the same in all quantiles.

OECD nations must consider the practical implications, which are essential to assess and update the military spending of OECD countries from a green energy perspective to transition to clean energy. Based on the study’s overall findings, the OECD countries should incorporate the advantages of innovation, economic growth and international trade into their clean energy transition strategies to lessen the impact of military spending on renewables.

The study aims to fill a gap in the literature regarding the role of military expenditures in the RE development of an OECD country. In addition, the results of the methodological analysis can be used to guide policymakers on how military spending should be in the field of RE.

This study explored how institutional quality influences the relationship between military spending and education in Africa.

This study used data from 43 African countries spanning the years 2000–2021. Two estimation methods were employed to address various issues: Fixed Effects with Driscoll-Kraay standard errors and the Two-Step System Generalised Method of Moments. The Fixed Effects with Driscoll-Kraay standard error method was used to obtain reliable standard errors and inferences from the estimated coefficients of the fixed effects model. Meanwhile, the problem of endogeneity between military spending and education was addressed using the Two-Step System Generalized Method of Moments (GMM).

The results indicated that military spending negatively impacts both the quality and quantity of education. However, both institutional quality and the interaction term (institutional quality*military spending) have positive effects on both measures of education, suggesting that better institutional quality mitigates the negative effect of military spending on education outcomes.

This study shows that institutional quality dampens the negative effect of military spending on education, especially the quality of education. Hence, African countries should prioritize strengthening their institutions to ensure optimal allocation and utilization of government funds for the benefit of their citizens.

This is the first study to examine the moderating role of institutional quality in the relationship between military spending and education, focusing on both the quantity and quality of education.

The paper examines how individuals can be susceptible to payment biases in the context of digital payment behavior by utilizing the concept of mental accounting. Furthermore, the paper investigates the moderating effects of Digital Financial Literacy (DFL) on the relationship between payment methods and spending behavior.

The study employs a survey-based approach to collect data from 503 individuals who use digital payment methods, utilizing purposive sampling from Pakistan. The collected data is analyzed using Smart-PLS 4 software to assess the direct impact of payment methods on spending behavior and the moderating influence of DFL.

The research findings demonstrate that both digital and cash payments significantly affect spending behavior. However, digital payments have a more substantial impact on spending behavior compared to cash payments. The findings also show that DFL significantly positively moderates individual spending. The study validates the mental accounting perspective by evaluating the direct impact of payment methods on consumers' spending behavior.

The findings have practical implications for policymakers, financial institutions, and educators. Policymakers can leverage the insights to design effective strategies that promote responsible spending behavior and enhance the adoption of digital payment methods. Financial institutions can design user-friendly platforms that cater to users' spending preferences, while educators can develop programs to enhance Digital Financial Literacy (DFL) among the public.

This study’s social implications lie in its potential to contribute to individuals' financial well-being by promoting responsible spending through digital payment methods. Enhanced financial literacy and informed spending decisions can lead to better financial management and ultimately contribute to societal financial stability.

The study enriches the understanding of mental accounting, shedding light on how overspending behavior can manifest through digital payment channels. In addition, this research practically provides valuable insights into enhancing the adoption and financial literacy of digital payments among the public.

This study explores whether media coverage of Chinese food safety guide consumer behaviour and determines its impact.

Using data from the China Family Panel Studies, this study implements unsupervised machine learning methods to quantitatively identify themes in news media coverage of food safety across various provinces and regions. Based on these findings, this study examines the impact of coverage of food safety on consumer behaviour related to FAFH.

We find that media coverage of food safety in the restaurant sector significantly decreases household expenditure on FAFH relative to total expenditure. While negative coverage substantially decreases expenditure on FAFH, non-negative coverage significantly increases it. Reports of food safety incidents outside consumers’ province are negatively correlated with expenditure on FAFH, whereas reports within province significantly increases such spending. Further, the negative impact of media coverage on FAFH spending is less pronounced among higher-income families, households headed by individuals with high educational levels and those with low sensitivity to newspaper information. A robust government information infrastructure also mitigates this negative impact.

The findings have important policy reference value for promoting the healthy development of catering and other life services by improving news reporting and the regulatory system.

This article employs machine learning methods to identify news reports related to food safety in the catering industry quantitatively and incorporates them into the study of household consumption in China. Consequently, this not only fills a gap in the existing literature but also provides a new perspective for interdisciplinary research in economics, sociology and computer science.

COVID-19 has affected the economies adversely from all sides. The sudden halt in production has impacted both the supply and demand sides. It calls for analysis to quantify the impact of the reduction in economic activity on the economy-wide variables so that appropriate steps can be taken. This study aims to evaluate the sensitivity of various sectors of the Indian economy to this dual shock.

The eight-sector open economy general equilibrium Global Trade Analysis Project (GTAP) model has been simulated to evaluate the sector-specific effects of a fall in economic activity due to COVID-19. This model uses an economy-wide accounting framework to quantify the impact of a shock on the given equilibrium economy and report the post-simulation new equilibrium values.

The empirical results state that welfare for the Indian economy falls to the tune of 7.70% due to output shock. Because of demand–supply linkages, it also impacts the inter- and intra-industry flows, demand for factors of production and imports. There is a momentous fall in the demand for factor endowments from all sectors. Among those, the trade-hotel-transport and manufacturing sectors are in the first two positions from the top. The study recommends an immediate revival of the manufacturing and trade-hotel-transport sectors to get the Indian economy back on track.

The present study has modified the existing GTAP model accounting framework through unemployment and output closures to account for the impact of change in sectoral output due to COVID-19 on the level of employment and other macroeconomic variables.

This paper examines the relationship between a prime contractor's financial health and its mergers and acquisitions (M&A) spending in the defense industry. It aims to provide models that give the United States Department of Defense (DoD) indications of future M&A activity, informing decision-makers and contributing to ensuring competitive markets that benefit the consumer.

The study uses panel data regression models on 40 companies between 1985 and 2021. The company's financial health is assessed using industry-standard financial ratios (i.e. measures of profitability, efficiency, solvency and liquidity) while controlling for economic factors such as national productivity, defense budgets and firm size.

The results show a significant relationship between efficiency and M&A spending, indicating that companies with lower efficiency tend to spend more on M&As. However, there was no significant relationship between M&A spending and a company's profitability or solvency. These results were consistent with previous research and the study's hypotheses for profitability and solvency. However, the effect of liquidity was the opposite of the expected result, possibly due to the defense industry's different view on liquidity compared to previous research.

The paper provides insights into the relationship between a prime contractor's financial health and its M&A spending, a topic with limited research. The findings can inform policymakers and regulators on the industrial base's future M&A activity, ensuring competitive markets that benefit the consumer.

This paper aims to explore how the expansion in cryptocurrency users affects the country's research and development (R&D) investments.

The analysis covers 53 countries over the period 2019–2022. The empirical methodology implements an instrumental variable approach to overcome endogeneity and omitted variable bias issues. In particular, this study introduces novel instruments developed from Google data, specifically related to trends observed in the cryptocurrency markets.

The results show that macroeconomic and institutional factors, as well as technology infrastructure affect the country's R&D expenditure, as previously noted in the literature. The country's R&D spending significantly responds to cryptocurrency expansions. Conspicuously, each 10% increase in cryptocurrency market users boosts the ratio of R&D to GDP by 1.35%. The countries that have imposed an adequate taxation policy on cryptocurrency gains experienced more improvement in their R&D budget, in contrast to those that forced aggressive tax brackets or did not apply adequate policies. Cryptocurrency dynamics affect both religiously regulated and nonreligious countries.

This study has three main contributions. First, it introduces the role of the cryptocurrency market as one of the leading global trends to affect the countries’ R&D budget. Second, this paper documents the importance of forcing an adequate tax policy on cryptocurrency capital gains. Third, the results of this paper serve as guidelines for governments to face the challenges raised by the cryptocurrency market.

This study aims to understand the impact of extreme weather events on fast-moving consumer goods (FMCG) consumption and to examine the role of anticipated product scarcity and FMCG types on such behavior.

This paper conducted five studies, combining archival data analysis with behavioral experiments. The archival data included sales data from a supermarket chain and weather data from the National Weather Service. The experiments were designed to test the effect of extreme weather cues on consumption, the psychological mechanism behind this effect and moderators.

This research found that consumers’ anticipation of extreme weather events significantly increases their consumption of FMCGs. This research further discovered that these behaviors are driven by anticipated product scarcity and moderated by consumers’ altruisms and FMCG types.

Limitations of the research include the reliance on reported sales data and self-reported measures, which could introduce biases. The authors also primarily focused on extreme weather events, leaving other types of disasters unexplored. Furthermore, cultural differences in disaster response might influence results, yet the studies do not fully address these nuances. Despite these limitations, the findings provide critical insights for FMCG retailers and policymakers, suggesting strategies for managing demand surges during disasters. Moreover, understanding consumer behavior under impending disasters could inform intervention strategies, potentially mitigating panic buying and helping ensure equitable resource distribution. Last, these findings encourage further exploration of environmental influences on consumer behavior.

The findings have practical implications for products, brand managers and retailers in managing stock levels and product distribution during disasters. Furthermore, understanding the psychological mechanisms of these behaviors could inform policymakers’ designs of public interventions for equitable resource allocation during extreme weather events.

The research provides significant social implications by highlighting how extreme weather events impact FMCG consumption. This understanding can guide public policymakers in creating efficient disaster management plans. Specifically, anticipating surges in FMCG purchases can inform policies for maintaining price stability and preventing resource shortages, mitigating societal stress during crises. Moreover, these findings encourage public education around responsible purchasing during disasters, potentially reducing panic buying. By collaborating with FMCG manufacturers and retailers, governments can ensure a steady supply of essentials during extreme weather events. Thus, the research can play a crucial role in enhancing societal resilience in the face of impending disasters.

To the best of the authors’ knowledge, this is the first study to integrate the impact of extreme weather events on consumption behavior with the psychological theory of anticipated product scarcity. The unique focus on FMCGs offers a novel perspective on consumer behavior literature.

This study seeks to investigate the impact of board attributes on environmental, social and governance (ESG) performance, along with exploring the mediating role of carbon emissions in this relationship.

To address this objective, the panel data approach was used to analyze the data were collected from 1,621 European companies from 2017 to 2021.

This study shows that board gender diversity, audit committee independence, expertise and board meeting attendance help enhance ESG performance. On the contrary, board size and composition do not affect ESG performance. The findings also showed that board gender diversity, audit committee independence, expertise and board meeting attendance are negatively related to carbon emissions performance. However, board size is related positively to carbon emissions performance. This indicates that the larger boards of directors may have diverse experiences that enhance the environmental performance of companies. Furthermore, the finding showed companies that contribute to lowering carbon emissions are more willing to improve their ESG performance. Also, carbon emissions mediate the relationship between the board's attributes and ESG performance.

The study's results have significant implications for firm managers in enhancing the efficiency of board decisions in determining environmental practices that matter to various groups of stakeholders. In addition, this study provides valuable input to regulators and policymakers regarding strengthening the regulations and controlling tools that enhance environmental performance.

This study aims to examine the asymmetric effects of average temperature (TP) and rainfall (RF) on the Moroccan food security, measured by the food production index (FPI), using annual data from 1961 to 2020.

The study uses the Climate Change and Food Security Framework (CCFS) developed by the Food and Agriculture Organization (FAO) and employs the nonlinear auto-regressive distributed lag (NARDL) model and various econometric techniques to show the effects of climate variability in the short and long-term. It also examines if the impacts on Moroccan food security are asymmetric by analyzing the positive and negative partial sums of mean temperature and rainfall.

The study shows that RF has a long-term relationship with FPI, with increased RF leading to increased FPI and decreased RF leading to decreased FPI. FPI responds more strongly and persistently to a positive shock in RF than to an adverse shock. The study also identifies an asymmetric relationship between FPI and RF, with increased TP enhancing food output in the long run and a decrease reducing food production in the long run.

The current study could have some limitations. For instance, there are several other non-climate factors that might potentially impact food security. In particular, CO2 emissions which from the literature is a key variable that represent climate change impact on food security, was not included. The present research has not included those factors mainly because adding more variables to the model reduces the degree of freedom available to estimate the parameters, resulting in inaccurate results.

This paper contributes to the food security literature by utilizing the latest asymmetry methodology to decompose climate changes into their positive and negative trends and examining the contrasting impacts food production.